分析和分类新兴网络安全法规

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Angelica Marotta, Stuart Madnick
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引用次数: 0

摘要

随着网络攻击变得越来越频繁、复杂和有影响力,世界各国政府都在通过引入或提出新的网络安全法规来应对。本文研究了包括美国、欧洲和其他地区在内的170多个不同地区的网络安全最新法规和趋势。它确定了许多规则中的17个关键特征,我们将其分为5类,分析了观察到的模式,并提出了改进的领域。本文的主要目标是通过帮助研究人员了解这些法规的结构,并帮助组织在日益复杂和受监管的网络安全环境中评估和减轻其网络风险,从而为网络安全合规领域做出重大贡献。我们的研究结果为那些试图驾驭新网络安全法规洪流和政府制定新网络安全法规的人提供了有价值的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing and Categorizing Emerging Cybersecurity Regulations
As cyber-attacks become more frequent, sophisticated, and impactful, governments worldwide are responding by introducing or proposing new cybersecurity regulations. This paper examines over 170 recent regulations and trends in cybersecurity across various regions, including the United States, Europe, and beyond. It identifies 17 key features in many of these regulations, which we have grouped into 5 categories, analyzes observed patterns, and proposes areas for improvement. This paper's primary objective is to significantly contribute to the cybersecurity compliance domain by helping researchers understand the structure of these regulations and helping organizations to assess and mitigate their cyber risk within an increasingly complex and regulated cybersecurity environment. Our findings provide valuable direction to those trying to navigate the flood of new cybersecurity regulations and the governments enacting new cybersecurity regulations.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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